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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A ten-year China-US laboratory collaboration: improving response to influenza threats in China and the world, 2004–2014</text>
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                <text>Yuelong Shu, Ying Song, Dayan Wang, Carolyn M. Greene, Ann Moen, C.-K. Lee, Yongkun Chen, Xiyan Xu, Jeffrey McFarland, Li Xin, Joseph Bresee, Suizan Zhou, Tao Chen, Ran Zhang, Nancy Cox</text>
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                <text>Abstract The emergence of severe acute respiratory syndrome (SARS) underscored the importance of influenza detection and response in China. From 2004, the Chinese National Influenza Center (CNIC) and the United States Centers for Disease Control and Prevention (USCDC) initiated Cooperative Agreements to build capacity in influenza surveillance in China. From 2004 to 2014, CNIC and USCDC collaborated on the following activities: 1) developing human technical expertise in virology and epidemiology in China; 2) developing a comprehensive influenza surveillance system by enhancing influenza-like illness (ILI) reporting and virological characterization; 3) strengthening analysis, utilization and dissemination of surveillance data; and 4) improving early response to influenza viruses with pandemic potential. Since 2004, CNIC expanded its national influenza surveillance and response system which, as of 2014, included 408 laboratories and 554 sentinel hospitals. With support from USCDC, more than 2500 public health staff from China received virology and epidemiology training, enabling &gt; 98% network laboratories to establish virus isolation and/or nucleic acid detection techniques. CNIC established viral drug resistance surveillance and platforms for gene sequencing, reverse genetics, serologic detection, and vaccine strains development. CNIC also built a bioinformatics platform to strengthen data analysis and utilization, publishing weekly on-line influenza surveillance reports in English and Chinese. The surveillance system collects 200,000–400,000 specimens and tests more than 20,000 influenza viruses annually, which provides valuable information for World Health Organization (WHO) influenza vaccine strain recommendations. In 2010, CNIC became the sixth WHO Collaborating Centre for Influenza. CNIC has strengthened virus and data sharing, and has provided training and reagents for other countries to improve global capacity for influenza control and prevention. The collaboration’s successes were built upon shared mission and values, emphasis on long-term capacity development and sustainability, and leadership commitment.</text>
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                <text>2019</text>
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                <text>influenza, laboratory, China, International Cooperation, Surveillance</text>
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                <text>DOI: 10.1186/s12889-019-6776-3</text>
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                <text>BMC Public Health</text>
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                <text>Public aspects of medicine</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Patterns of Psychological Responses among the Public during the Early Phase of COVID-19: A Cross-Regional Analysis</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Yuen Yu Chong, Wai Tong Chien, Ho Yu Cheng, Demetris Lamnisos, Jeļena Ļubenko, Giovambattista Presti, Valeria Squatrito, Marios Constantinou, Christiana Nicolaou, Savvas Papacostas, Gökçen Aydin, Francisco J. Ruiz, Maria B. Garcia-Martin, Diana P. Obando-Posada, Miguel A. Segura-Vargas, Vasilis S. Vasiliou, Louise McHugh, Stefan Höfer, Adriana Baban, David Dias Neto, Ana Nunes da Silva, Jean-Louis Monestès, Javier Alvarez-Galvez, Marisa Paez Blarrina, Francisco Montesinos, Sonsoles Valdivia Salas, Dorottya Őri, Bartosz Kleszcz, Raimo Lappalainen, Iva Ivanović, David Gosar, Frederick Dionne, Rhonda M. Merwin, Andrew T. Gloster, Maria Karekla, Angelos P. Kassianos</text>
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            <description>An account of the resource</description>
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                <text>This study aimed to compare the mediation of psychological flexibility, prosociality and coping in the impacts of illness perceptions toward COVID-19 on mental health among seven regions. Convenience sampled online survey was conducted between April and June 2020 from 9130 citizens in 21 countries. Illness perceptions toward COVID-19, psychological flexibility, prosociality, coping and mental health, socio-demographics, lockdown-related variables and COVID-19 status were assessed. Results showed that psychological flexibility was the only significant mediator in the relationship between illness perceptions toward COVID-19 and mental health across all regions (all ps = 0.001–0.021). Seeking social support was the significant mediator across subgroups (all ps range =</text>
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                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>mental health, covid-19, Survey, psychological flexibility, prosociality</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="61189">
                <text>10.3390/ijerph18084143</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="61190">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="61191">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84632">
                <text>Identification of risk factors for mortality associated with COVID-19</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84633">
                <text>Yuetian Yu, Zhongheng Zhang, Cheng Zhu, Luyu Yang, Hui Dong, Ruilan Wang, Hongying Ni, Erzhen Chen</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Objectives Coronavirus Disease 2019 (COVID-19) has become a pandemic outbreak. Risk stratification at hospital admission is of vital importance for medical decision making and resource allocation. There is no sophisticated tool for this purpose. This study aimed to develop neural network models with predictors selected by genetic algorithms (GA). Methods This study was conducted in Wuhan Third Hospital from January 2020 to March 2020. Predictors were collected on day 1 of hospital admission. The primary outcome was the vital status at hospital discharge. Predictors were selected by using GA, and neural network models were built with the cross-validation method. The final neural network models were compared with conventional logistic regression models. Results A total of 246 patients with COVID-19 were included for analysis. The mortality rate was 17.1% (42/246). Non-survivors were significantly older (median (IQR): 69 (57, 77) vs. 55 (41, 63) years; p &lt; 0.001), had higher high-sensitive troponin I (0.03 (0, 0.06) vs. 0 (0, 0.01) ng/L; p &lt; 0.001), C-reactive protein (85.75 (57.39, 164.65) vs. 23.49 (10.1, 53.59) mg/L; p &lt; 0.001), D-dimer (0.99 (0.44, 2.96) vs. 0.52 (0.26, 0.96) mg/L; p &lt; 0.001), and α-hydroxybutyrate dehydrogenase (306.5 (268.75, 377.25) vs. 194.5 (160.75, 247.5); p &lt; 0.001) and a lower level of lymphocyte count (0.74 (0.41, 0.96) vs. 0.98 (0.77, 1.26) × 109/L; p &lt; 0.001) than survivors. The GA identified a 9-variable (NNet1) and a 32-variable model (NNet2). The NNet1 model was parsimonious with a cost on accuracy; the NNet2 model had the maximum accuracy. NNet1 (AUC: 0.806; 95% CI [0.693–0.919]) and NNet2 (AUC: 0.922; 95% CI [0.859–0.985]) outperformed the linear regression models. Conclusions Our study included a cohort of COVID-19 patients. Several risk factors were identified considering both clinical and statistical significance. We further developed two neural network models, with the variables selected by using GA. The model performs much better than the conventional generalized linear models.</text>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="84636">
                <text>covid-19, risk factor, genetic algorithms</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.7717/peerj.9885</text>
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                <text>Epidemiology and Health</text>
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              <elementText elementTextId="84639">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <name>Title</name>
              <description>A name given to the resource</description>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Analysis of the Influence of Psychological Contract on Employee Safety Behaviors against COVID-19</text>
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                <text>Yuexin Du, Hui Liu</text>
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                <text>This study explored the influencing factors of safety behavior from the perspective of employees, studied the mechanism of the psychological contract on employees’ safety behavior in the context of the Chinese epidemic situation, tested the mediating role of job burnout and perceived insider status in the process of work resumption, and provided preventive suggestions for combating the global spread of COVID-19. A questionnaire survey was utilized to collect data and, combined with the necessary protective measures taken for employees in China, was used to modify the mature safety behavior scale. Finally, through the analysis of 402 employees’ questionnaires, the hypotheses were verified; that is, in the process of Chinese enterprises returning to work to cope with COVID-19, the psychological contract has a positive role in promoting employees’ safety behavior, while job burnout plays a weakened mediating role, and perceived insider status plays a strengthening mediating role. The psychological contract negatively affects job burnout but positively affects perceived insider status. Job burnout negatively affects employees’ safety behavior, but perceived insider status positively affects employees’ safety behavior. The results show that employees’ conscious participation in safety behavior plays an irreplaceable role in the prevention of COVID-19 and safety of work resumption.</text>
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                <text>2020</text>
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                <text>covid-19, job burnout, Psychological Contract, safety behavior, perceived insider status, double mediators</text>
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                <text>10.3390/ijerph17186747</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>This study aimed to investigate the impacts of COVID-19 on the hospitality industry. We examined the interplay between consumers’ fear and uncertainty of COVID-19, their trust in green hotel brands, and their behavioral intentions in relation to staying at green hotels. Analysis of 613 completed responses to a survey instrument revealed that fear and uncertainty of COVID-19 have increased consumers’ environmental concerns and green hotel brand trust, which in turn have promoted their willingness to pay more and willingness to make sacrifices to stay at green hotels. The paper contributes to research on green consumption behavior in the hotel industry during the COVID-19 pandemic.</text>
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                <text>10.3390/su12208688</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Co-Circulation of the Rare CPV-2c with Unique Gln370Arg Substitution, New CPV-2b with Unique Thr440Ala Substitution, and New CPV-2a with High Prevalence and Variation in Heilongjiang Province, Northeast China.</text>
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                <text>Yufei Geng, Donghua Guo, Chun-qiu Li, Enyu Wang, Shan Wei, Zhihui Wang, Shuang Yao, Xi Wen Zhao, Ming-Jun Su, Xinyu Wang, Jianfa Wang, Rui Wu, Li Feng, Dongbo Sun</text>
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                <text>To trace evolution of canine parvovirus-2 (CPV-2), a total of 201 stool samples were collected from dogs with diarrhea in Heilongjiang province of northeast China from May 2014 to April 2015. The presence of CPV-2 in the samples was determined by PCR amplification of the VP2 gene (568 bp) of CPV-2. The results revealed that 95 samples (47.26%) were positive for CPV-2, and they showed 98.8%-100% nucleotide identity and 97.6%-100% amino acid identity. Of 95 CPV-2-positive samples, types new2a (Ser297Ala), new2b (Ser297Ala), and 2c accounted for 64.21%, 21.05%, and 14.74%, respectively. The positive rate of CPV-2 and the distribution of the new2a, new2b and 2c types exhibited differences among regions, seasons, and ages. Immunized dogs accounted for 48.42% of 95 CPV-2-positive samples. Coinfections with canine coronavirus, canine kobuvirus, and canine bocavirus were identified. Phylogenetic analysis revealed that the identified new2a, new2b, and CPV-2c strains in our study exhibited a close relationship with most of the CPV-2 strains from China; type new2a strains exhibited high variability, forming three subgroups; type new2b and CPV-2c strains formed one group with reference strains from China. Of 95 CPV-2 strains, Tyr324Ile and Thr440Ala substitutions accounted for 100% and 64.21%, respectively; all type new2b strains exhibited the Thr440Ala substitution, while the unique Gln370Arg substitution was found in all type 2c strains. Recombination analysis using entire VP2 gene indicated possible recombination events between the identified CPV-2 strains and reference strains from China. Our data revealed the co-circulation of new CPV-2a, new CPV-2b, and rare CPV-2c, as well as potential recombination events among Chinese CPV-2 strains.</text>
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                <text>DOI: 10.1371/journal.pone.0137288</text>
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                <text>PLoS ONE</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Uncertainty in the Impact of the COVID-19 Pandemic on Air Quality in Hong Kong, China</text>
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                <text>Yuhan Huang, John  L. Zhou, Yang Yu, Wai-chuen Mok, Casey  F.C. Lee, Yat-shing Yam</text>
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                <text>Strict social distancing rules are being implemented to stop the spread of COVID-19 pandemic in many cities globally, causing a sudden and extreme change in the transport activities. This offers a unique opportunity to assess the effect of anthropogenic activities on air quality and provides a valuable reference to the policymakers in developing air quality control measures and projecting their effectiveness. In this study, we evaluated the effect of the COVID-19 lockdown on the roadside and ambient air quality in Hong Kong, China, by comparing the air quality monitoring data collected in January–April 2020 with those in 2017–2019. The results showed that the roadside and ambient NO2, PM10, PM2.5, CO and SO2 were generally reduced in 2020 when comparing with the historical data in 2017–2019, while O3 was increased. However, the reductions during COVID-19 period (i.e., February–April) were not always higher than that during pre-COVID-19 period (i.e., January). In addition, there were large seasonal variations in the monthly mean pollutant concentrations in every year. This study implies that one air pollution control measure may not generate obvious immediate improvements in the air quality monitoring data and its effectiveness should be evaluated carefully to eliminate the effect of seasonal variations.</text>
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                <text>covid-19, criteria pollutants, traffic disruption, roadside and ambient air quality</text>
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            <name>Identifier</name>
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                <text>10.3390/atmos11090914</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Meteorology. Climatology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Current Status of Treatment Options, Clinical Trials, and Vaccine Development for SARS-CoV-2 Infection</text>
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                <text>Yuhong Yang, Ran Jing, Ramarao Vunnam, Adam Karevoll, Srinivas Rao Vunnam</text>
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                <text>The severe acute respiratory syndrome virus (SARS-CoV-2), a novel coronavirus first discovered inWuhan, China in December 2019 causes the Coronavirus Disease 19 (COVID-19), which presents with a wide range of clinical symptoms from mild or moderate to severe and critical illnesses. With thecontinuing transmission of the virus worldwide and the rapidly evolving situation globally, the WorldHealth Organization (WHO) declared the COVID-19 outbreak a pandemic in March. Currently, thereis no proven specific treatment for this potentially deadly disease beyond supportive care. However,a massive effort has been put globally into the investigation of medications and other interventionalmeasures to fight COVID-19. Convalescent plasma therapy from recovered patients has recently drawnconsiderable interest. Several alternative medical treatments, although evidence of their efficacy stilllacking, have also gained popularity, especially in countries with such traditions such as India and China.Rapid repurposing of drugs for COVID-19 has revealed a few promising candidate antiviral agents, butfurther research, especially high quality randomized controlled trials, will be needed to prove theirefficacy and safety in the clinical use to treat COVID-19. Vaccine development has been the imperativetask in the battle against SARS-CoV-2. While clinical trials have been launched for several candidatevaccines, research on COVID-19 vaccines is still at an early stage. So far, optimized supportive careremains the best practice against COVID-19.</text>
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                <text>vaccine, Supportive care, Clinical trials, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.22207/JPAM.14.SPL1.10</text>
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                <text>Journal of Pure and Applied Microbiology</text>
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                <text>Yuichi Adachi, Takayuki Shiroyama, Yuta Yamaguchi, Teruaki Murakami, Haruhiko Hirata, Saori Amiya, Takayuki Niitsu, Yoshimi Noda, Reina Hara, Takatoshi Enomoto, Takayoshi Morita, Yasuhiro Kato, Akinori Uchiyama, Yoshito Takeda, Atsushi Kumanogoh</text>
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                <text>10.1016/j.jinf.2021.01.016</text>
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                <text>The Journal of infection</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Prolonged Postoperative Pyrexia and Transient Nonnephrogenic Vasopressin-Analogue-Resistant Polyuria following Endoscopic Transsphenoidal Resection of an Infundibular Epidermoid Cyst</text>
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                <text>Yuichiro Yoneoka, Yasuhiro Seki, Katsuhiko Akiyama, Yuki Sakurai, Nobumasa Ohara, Go Hasegawa</text>
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                <text>Prolonged postoperative pyrexia (PPP) due to Mollaret’s meningitis following endoscopic transsphenoidal surgery (eTSS) for an intracranial epidermoid cyst can be confused with postoperative meningeal infection after transsphenoidal resection, especially in the middle of the COVID-19 pandemic. Anosmia, as well as dysgeusia, cannot be evaluated in patients of eTSS for a while after surgery. We report a case of an infundibular epidermoid cyst with post-eTSS Mollaret’s meningitis (MM). The post-eTSS MM caused vasopressin-analogue-resistant polyuria (VARP) in synchronization with PPP. A 59-year-old man experiencing recurrent headaches and irregular bitemporal hemianopsia over three months was diagnosed with a suprasellar tumor. The suprasellar tumor was an infundibular cyst from the infundibular recess to the posterior lobe of the pituitary, which was gross-totally resected including the neurohypophysis via an extended eTSS. Since awakening from general anesthesia after the gross total resection (GTR) of the tumor, the patient continuously had suffered from headache until the 13th postoperative day (POD13). The patient took analgesics once a day before the surgery and three times a day after the surgery until POD11. Pyrexia (37.5–39.5 degree Celsius) in synchronization with nonnephrogenic VARP remitted on POD18. Intravenous antibiotics had little effect on changes of pyrexia. Serum procalcitonin values (reference range</text>
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                <text>2021</text>
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                <text>10.1155/2021/6690372</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Case Reports in Neurological Medicine</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="64219">
                <text>Hindawi Limited</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="64220">
                <text>Neurology. Diseases of the nervous system</text>
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